We are excited to announce the launch of the CAST Application Intelligence Administrator (AIA) Certification Program, which designates individuals who demonstrate knowledge, skill, and proficiency in CAST AIP software analysis and measurement, and in turn allows companies to more easily identify qualified candidates.

Like any software implementation, CAST AIP requires specific key points to be scalable. There are some aspects of infrastructure and processes to consider, but you should also keep in mind other keys to success to be sure you are building for the long term.

There are several aspects to consider when integrating CAST AIP into the SDLC: the frequency of scanning, the version of the application selected for scanning, the type of usage and the type of development or output generated based on CAST AIP information. All of these parameters are key to defining the right integration and usage.

Measuring the technical quality of business software applications is evolving from an art to a science with the availability of software tools that automate the process of code analysis. However, it is critical to understand that there are two categories of software quality with very different implications for operational performance.

Highlight measures the size, complexity and risk of all the applications in your portfolio. While size and complexity are straightforward calculations, the risk indicator is based on a statistical analysis against a well-established software engineering body of knowledge. Highlight’s alarms apply a sophisticated predictive analytics engine to hundreds of patterns and rules that have been proven to correlate to production failures and maintainability issues.

Simply performing security audits and building firewalls is no longer enough—security must be built into an application. CAST Application Intelligence Platform (AIP) has the industry’s best application analysis engine to help organizations build security into their software assets by integrating security vulnerability feedback right at the development stage of SDLC.